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Rushdi Shams, PhD

AI Researcher

Canada9 yrs 11 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in developing AI/ML solutions for diverse industries.
  • Strong leadership in mentoring and empowering ML talent.
  • Proven track record in delivering innovative data-driven products.
Stackforce AI infers this person is a Data Science and Machine Learning expert with a focus on AI-driven solutions across various sectors.

Contact

Skills

Core Skills

Machine LearningArtificial IntelligenceNatural Language ProcessingData Science

Other Skills

Product DevelopmentLarge Language Models (LLM)Scikit-LearnInformation ExtractionStrategic PlanningLanguage ModelingLeadershipProblem SolvingNumPyStrategic ThinkingPandas (Software)Amazon Web Services (AWS)Thought LeadershipInformation RetrievalData Analytics

About

I’m passionate in helping companies and customers unlock the potential of AI/ML to make a real difference in people’s lives, whether through on-premise infrastructure or public cloud services. I’ve been successful in my roles because I’m naturally curious and enjoy working backward from problems to find smart solutions. I’m also great at breaking down complex ideas, sharing suggestions, and providing best practices in a way that’s clear, actionable, and on time. What makes me stand out is my ability to bring emotional intelligence into the workplace, which helps me connect with others and work effectively as part of a team. I also draw on the best of both worlds—academic research and industry experience—to approach challenges with a well-rounded and practical perspective.

Experience

9 yrs 11 mos
Total Experience
2 yrs 5 mos
Average Tenure
2 yrs 10 mos
Current Experience

Distillersr

2 roles

Staff Machine Learning Engineer

Apr 2025Present · 1 yr 2 mos

Product DevelopmentMachine LearningNatural Language ProcessingLarge Language Models (LLM)Artificial Intelligence

Senior Machine Learning Engineer

Jul 2023Mar 2025 · 1 yr 8 mos

  • Driving Innovation with LLMs and Deterministic ML Solutions: Leading the development of cutting-edge LLMs and deterministic machine learning solutions to foster trust, enhance decision-making, and establish thought leadership in health informatics.
  • Championing Data Stewardship: Upholding the highest standards of data quality, integrity, and compliance while protecting and maximizing the value of critical data assets.
  • Crafting ML Strategy and Shaping the Landscape: Defining and driving the organization’s ML strategy by analyzing trends, evaluating emerging technologies, and developing strategic roadmaps for long-term, sustainable growth.
  • Inspiring the Next Generation of ML Talent: Mentoring and empowering aspiring ML professionals through hands-on coaching, workshops, and collaborative knowledge-sharing to build a vibrant and skilled community.
Machine LearningScikit-LearnInformation ExtractionStrategic PlanningLanguage ModelingLeadership+9

Amazon web services (aws)

Data Scientist II

Oct 2021Jun 2023 · 1 yr 8 mos

  • Driving Impactful Solutions Across Industries: Leveraging a wide range of data science methodologies and deep domain expertise to design scalable, reliable products and proofs-of-concept (POCs). Skilled in developing and auditing metrics to quantify solution benefits across diverse sectors, including oil and gas, retail, gaming, automobile, airlines, banking, and insurance.
  • Collaborating with Experts for Excellence: Partnering with engineers and subject matter experts (SMEs) to apply industry best practices and deliver measurable business value through cutting-edge solutions.
  • End-to-End Project Leadership: Managing customer projects from initiation to closure, utilizing a high-quality engagement delivery framework to align solutions with business goals and ensure successful outcomes.
  • Product Development Highlights: Delivered innovative products such as recommendation engines, language toxicity detection systems, forecasting pipelines, customer intelligence engines, loyalty prediction models from conversations, and churn prediction engines.
Machine LearningData AnalyticsData EngineeringLanguage ModelingLeadershipNumPy+13

Oneclass - notesolution inc.

Senior Machine Learning Engineer

Sep 2017May 2021 · 3 yrs 8 mos · Toronto, Canada Area

  • Shaping the ML/NLP Landscape: Strategically planned, prioritized, and developed the company's ML/NLP ecosystem by leading the creation of POCs and online/offline products leveraging user-generated content.
  • Driving Business-Critical Solutions: Collaborated closely with C-suite executives, investors, product teams, and data engineers to pinpoint business-critical areas, propose impactful solutions, and address root causes of issues in both production and staging environments.
  • Innovative Product Development: Delivered key products, including a content filter, automatic content generator, automatic content cataloging system, personalized content recommendation engine, and intelligent search engine, enhancing user experiences and business outcomes.
Machine LearningData AnalyticsData EngineeringLanguage ModelingLeadershipNumPy+9

Sustainalytics

Digital Innovation Specialist

Mar 2015Jun 2017 · 2 yrs 3 mos · Toronto, Canada Area

  • Pioneering ML/NLP Solutions for ESG Challenges: Independently led the research and development of ML/NLP POCs, products, and artifacts to address complex and large-scale ESG text-related problems. Collaborated closely with BI teams, developers, and data experts to deliver impactful solutions.
  • Innovative Product Portfolio: Developed cutting-edge products, including an intelligent data harvester, text summarizer, ESG trend predictor, and incident detection tool, driving insights and actionable outcomes in the ESG domain.
Machine LearningData AnalyticsLanguage ModelingNumPyPandas (Software)Feature Engineering+4

Western university

3 roles

Text Analytics Researcher

Promoted

Sep 2014Mar 2015 · 6 mos

  • Advancing Text Data Solutions: Designed and developed innovative solutions for text data normalization and news summary generation, leveraging insights from comprehensive literature reviews and cutting-edge research.
  • Driving High-Impact Algorithm Development: Created a linguistics- and psychology-based algorithm to detect informative areas in text, achieving an average 78% accuracy across datasets spanning physics, economics, biomedical, sports, and weather domains.
  • Building High-Performance Summarization Tools: Developed single and multi-document text summarizers that extract key sentences based on authors’ writing styles, delivering an outstanding 98% F-score on multiple standard datasets.
  • Contributing to Thought Leadership: Published academic papers in top journals and conferences, advancing state-of-the-art methods in NLP and text analytics.
Machine LearningLanguage ModelingNatural Language ProcessingProbabilityArtificial IntelligenceData Science

Teaching Assistant

Sep 2010Aug 2014 · 3 yrs 11 mos

  • Supporting Academic Excellence: Prepared comprehensive teaching and supplementary materials for principal instructors, evaluated student performances, and assisted in class lectures and lab assessments for various courses.
  • Recognition for Outstanding Teaching: Nominated as the Best TA for AI in the Department of Computer Science at Western University during the 2012-13 academic year.
  • Commitment to Professional Growth: Earned certifications in Communication in the Canadian Classroom and Theory and Practice in University Teaching from the Western Teaching Support Center, enhancing teaching methodologies and classroom engagement.
Machine LearningNatural Language ProcessingProbabilityArtificial Intelligence

Research Assistant

Sep 2010Aug 2014 · 3 yrs 11 mos

  • Exploring Information Richness in Text: Conducted research under an NSERC Discovery Grant-funded project, leveraging natural language stylometry to analyze and identify information richness in text. Stylometry, the study of linguistic writing styles, served as the foundation for examining authorial patterns and textual nuances.
  • Comprehensive Research Responsibilities: Formulated research problems, conducted extensive literature reviews, designed and implemented scientific methodologies, and curated high-quality datasets through data collection and preprocessing.
  • Data-Driven Insights: Performed in-depth statistical analyses to extract meaningful patterns, documented findings comprehensively, and delivered progress reports to the project supervisor, contributing to impactful outcomes in the field of natural language processing.
Machine LearningNatural Language ProcessingProbabilityArtificial Intelligence

Cisco

Instructor

May 2008Aug 2010 · 2 yrs 3 mos · Bangladesh

  • Educating Future Networking Professionals: Managed large classes, taught the comprehensive CCNA curriculum, and provided hands-on demonstrations to enhance students’ understanding of networking concepts.
  • Skill Assessment and Guidance: Evaluated lab skills to ensure students achieved proficiency in practical applications, fostering a strong foundation in networking principles.
  • Certified Expertise: Successfully completed the Cisco Certified Network Instructor (CCNI) certification program, showcasing advanced teaching and technical capabilities in networking education.
Machine LearningNatural Language ProcessingProbabilityArtificial IntelligenceData Science

Khulna university of engineering and technology (kuet)

Assistant Professor

Mar 2008Aug 2010 · 2 yrs 5 mos · Khulna, Bangladesh

  • Curriculum Planning and Delivery: Collaborated with faculty to design and execute theory and lab classes for courses including programming, operating systems, databases, AI, and machine translation, achieving a 90% student satisfaction rate.
  • Guiding Research Excellence: Supervised and evaluated final-year Bachelor’s and Master’s theses, ensuring tangible research contributions to the scientific community and successful publications in reputed conferences and journals.

Machine-mediated multimodal communications (m3c) lab, university of bolton

Artificial Intelligence Researcher

Oct 2007Jan 2008 · 3 mos · Bolton, United Kingdom

  • Driving Research and Problem-Solving: Formulated research problems, conducted comprehensive literature reviews, and designed and implemented scientific methodologies to address key challenges.
  • Delivering Research Outcomes: Documented results meticulously and provided detailed reports to supervisors, ensuring clarity and actionable insights.
  • Industry-Level Experience: Gained hands-on experience working in the Machine-Mediated Multi-Modal Communications Lab on an industry-level project, bridging academic research with practical applications.
Machine LearningNatural Language ProcessingArtificial IntelligenceData Science

Education

The University of Western Ontario

PhD

Jan 2010Jan 2014

The University of Bolton

MSc — Information Technology

Jan 2006Jan 2007

Khulna University of Engineering and Technology

BSc — Computer Science

Jan 2002Jan 2006

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